RESEARCH OF THE ECONOMIC FACTORS IMPACT ON THE AUTOMOBILIZATION LEVEL
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Keywords:
motorization level, gross domestic product, average salaryAbstract
Mortality from road accidents continues to rise, amounting to 1.35 million deaths per year. It is emphasized that today injuries as a result of road accidents are the main cause of children death and young people aged 5-29 years and the three main causes of person’s death aged 5 to 44 years. Studies of road safety various aspects in different countries have shown that the world has long and steadily formed a global problem of irregular road accidents. First of all, the inverse dependence of the emergency risk on the material well-being of countries is clearly visible. The risk of death as a result of road accidents in low-income countries is three times higher than in high-income countries. The highest rates are in Africa (26.6 cases per 100,000 people) and the lowest in Europe (9.3 cases per 100,000 people). In addition, in recent years, experts are trying to link the actual accident rate in countries with the life quality of their populations. Quality of life as a concept includes not only the material level but also the satisfaction of spiritual needs, health, life expectancy, environmental conditions, moral and psychological climate, emotional comfort, etc., which ultimately determines the transport culture of the population.
In this regard, it is of interest to identify links between the results of rating assessments of the people life quality in different countries and the level of these countries road safety typical. To do this, first of all it is necessary to assess the economic factors impact on the motorization level, which is insufficiently studied.
The purpose is to determine the dependences of the economic factors impact, namely gross domestic product per capita and average wages, on the motorization level.
The data for the study were taken from official statistical sources. The results were processed by methods of mathematical statistics and regression analysis.
According to the results of the experiments, regression models were obtained for European countries; Asia and Oceania; The Middle East; Africa; North, Central America and the Caribbean; South America.
The comparison of the simulated values and the initial data showed a high degree of correlation.
The originality lies in the fact that the regularities of the economic factors influence on the motorization level are investigated, which makes it possible to obtain predicted values in the future.
Improving the efficiency and safety of vehicles on the road network is possible based on the use of the motorization level predicted values in research. The obtained research results can be used to determine the feasibility of introducing certain measures to organize traffic.
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